Creation Canvas
Create AI Agents that help you save time, boost employee productivity, and improve customer experience all without writing a single line of code. Explore the intuitive platform to build AI like never before.
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This path is needed when the AI Agent needs to be trained on your content repositories, like websites, PDFs, etc, for easy, relevant answer retrieval.
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You can build this automation flow by connecting an AI Agent Gambit with base LLM models and a prompt to your Knowledge Bases.
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Example: A customer support Agent trained on your product documentation (PDFs, help center articles, internal FAQs) that can instantly answer user questions.
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The journey needs branching logic when multiple routes can be taken based on the user's input.
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This automation flow can be built in Tars easily using the Categorizer Gambit. It helps you create diverse branches from a single Gambit. The journey is decided based on the user's input.
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Example: A banking AI Agent that categorizes user queries into different intents: account inquiries, loan applications, fraud reports, or general support, with each path triggering different workflows.
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This Agentic process uses multiple tools in a sequence to complete a task. This can be built using an AI Agent Gambit attached to multiple Tools to automate a complete task.
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An AI Agent Gambit allows you to integrate multiple tools to automate a complete workflow. The LLM calls each tool when needed in the workflow.
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Example: A lead qualification Agent that enriches leads via LinkedIn, scores them using a CRM tool, books meetings through Google Calendar, sends emails via Gmail, and creates tasks in ClickUp.
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This journey combines multiple automation types, like multi-step tool use, knowledge retrieval, and branching logic.
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It's particularly useful for advanced use cases where an AI Agent needs to take diverse routes based on user intent. One journey may require knowledge retrieval, while another requires tool integration.
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Example: An E-commerce AI Agent that first categorizes customer intent, then retrieves product information from knowledge bases, and uses multiple tools (payment processing, inventory checking, shipping APIs) for purchase flows.
Gambits are the building blocks of your AI Agents. It is just like Lego.
Helps citizens report municipal service issues like potholes, graffiti, and missed trash collection by creating official work orders for city crews. It also provides status updates and general information about city services.
Helps employees find guidance on IT issues and provides troubleshooting steps. If the issue is unresolved, it raises a ticket for IT support.
Sits at your hospital entrance to help patients find the right specialist and room number based on symptoms, providing step-by-step directions and reducing front desk inquiries.
Educates on plans, services, pricing, and perks, then collects user data and takes the user to a placeholder payment gateway once they have chosen a service.
Educates customers about credit card options through targeted questions about their credit situation and spending habits, then recommends the best-fit product with detailed reward calculations and application guidance.
Collects customer information and problem details to provide accurate cost estimates for plumbing, electrical, and HVAC services, then creates work orders for expert callbacks.
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